Advertisement

An Approach to Automated Construction Using Adaptive Programing

  • Khaled Elashry
  • Ruairi Glynn
Chapter

Abstract

With advancements in sensing and adaptive behavior programming the use of robots in complex environments such as building sites (typically the sole domain of human labor) is becoming increasingly feasible. However, large challenges remain before we can consider on-site robotic construction as a cost effective alternative to other means of construction. One major challenge lays in developing robotic systems that can safely work with unpredictable construction materials alongside human co-workers. To achieve this continuous sensing/actuation feedback is required, an approach that contrasts that typically found on an assembly line where “blind” robots perform pre-programmed routines. Our research presents a new robot control plug-in called “Scorpion” and a Java/Processing server, which in combination provide a workflow where multiple layers of sensing provide fast, continuous feedback to a robotic workcell. As a demonstration, this adaptive programming approach is employed in a case study of robotic bricklaying with mortar, using traditional tools as end effectors.

Keywords

Industrial robots Construction Robotic control Computer vision Adaptive programing 

References

  1. Andres J et al (1994) First results of the development of the masonry robot system ROCCO: a fault tolerant assembly tool. Autom Rob Constr XI 11:87–93Google Scholar
  2. Balaguer C, Abderrahim M (2008) Trends in robotics and automation in construction. Rob Autom Constr 1–22Google Scholar
  3. Bechthold M (2010) The return of the future: a second go at robotic construction. Architect Des 80(4):116–121Google Scholar
  4. Gramazio F, Kohler M (2008) Digital materiality in architecture: Gramazio and Kohler. Lars Muller Publishers, BodenGoogle Scholar
  5. Helm V et al (2012) Mobile robotic fabrication on construction sites: DimRob. In: 2012 IEEE/RSJ international conference on intelligent robots and systems. IEEE, pp 4335–4341Google Scholar
  6. Keating S, Oxman N (2013) Compound fabrication: a multi-functional robotic platform for digital design and fabrication. Rob Comput-Integr Manuf 29(6):439–448CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Bartlett School of Graduate StudiesLondonUK

Personalised recommendations